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r / packages / r-mixedmem

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva et al (2004). This package uses a Variational EM approach by approximating the posterior distribution of latent memberships and selecting hyperparameters through a pseudo-MLE procedure. Currently supported data types are Bernoulli, multinomial and rank (Plackett-Luce). The extended GoM model with fixed stayers from Erosheva et al (2007) is now also supported. See Airoldi et al (2014) for other examples of mixed membership models.

Type Size Name Uploaded Downloads Labels
conda 608.6 kB | linux-64/r-mixedmem-1.1.2-r43h884c59f_0.tar.bz2  1 year and 4 months ago 30 main
conda 609.6 kB | linux-64/r-mixedmem-1.1.2-r42h884c59f_0.tar.bz2  2 years and 11 months ago 59 main
conda 609.9 kB | win-64/r-mixedmem-1.1.0-r36h796a38f_0.tar.bz2  5 years and 2 months ago 86 main
conda 578.4 kB | osx-64/r-mixedmem-1.1.0-r36h466af19_0.tar.bz2  5 years and 2 months ago 20 main
conda 584.3 kB | linux-64/r-mixedmem-1.1.0-r36h29659fb_0.tar.bz2  5 years and 2 months ago 65 main

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